BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20201007T112830Z
DTSTART:20201028T100000Z
DTEND:20201028T120000Z
SUMMARY:PSDP Masterclass 1: Robot Overlords: Lessons learnt from co-desig
 ning a large collaborative course for interdisciplinary learners
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}b143-kfzah7
 va-2ze3fp
DESCRIPTION:Last year we developed a new UCIL course unit\, designed to p
 repare any of our undergraduates for a world in which Artificial Intelli
 gence and Machine Learning is becoming increasingly prevalent. Our stude
 nts need to be prepared for the AI revolution – to understand the impact
  it will have on society\, and to possess the knowledge that will allow 
 them to be active participants in shaping the future of this important a
 rea. \n\nWe therefore worked with UCIL and student representatives to de
 velop our course in this area – a first in the world. For the course to 
 work there were requirements it needed to fulfil: it had to be interdisc
 iplinary\, introduce all students to some basic coding\, responsive to a
  rapidly moving area\, work with students as partners. All this needed t
 o be developed for a surprisingly large initial cohort (over 100 student
 s) and with no previous experience or template for developing this type 
 of course.\n\nIn this masterclass we will be sharing the learning we dev
 eloped as a part of this journey - the successes and failures - to help 
 show how some new pedagogic strategies and improved teaching infrastruct
 ure can help us develop courses to prepare our students for the challeng
 es of 21st century life.\n\nTo book a place\, please go to the Training 
 Catalogue at https://app.manchester.ac.uk/FBMHS5203
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:The event will take place online via Zoom and you will get the l
 ink once you have reserved your place at https://app.manchester.ac.uk/FB
 MHS5203
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